segclust_internal: Internal segmentation/clustering function

In rpatin/segclust2d: Bivariate Segmentation/Clustering Methods and Tools

Internal segmentation/clustering function

Description

Internal segmentation/clustering function

Usage

segclust_internal(
  x,
  seg.var,
  diag.var,
  order.var,
  Kmax,
  ncluster,
  lmin,
  scale.variable,
  sameSigma = FALSE,
  ...
)

Arguments

x	data.frame with observations
seg.var	names of the variables used for segmentation (either one or two names).
diag.var	names of the variables on which statistics are calculated.
order.var	names of the variable with which states are ordered.
Kmax	maximum number of segments.
ncluster	number of cluster into which segments should be grouped. Can be a vector if one want to test several number of clusters.
lmin	minimum length of segments.
scale.variable	TRUE or FALSE for automatic scaling of variables (reduction and centering)
sameSigma	does segments have same variance ?
...	additional arguments given to chooseseg_lavielle

rpatin/segclust2d documentation built on Sept. 10, 2022, 8:02 a.m.